You've got 10 minutes with Einstein. What do you talk about? Black holes? Time travel?
Why not gambling? The Art of War? Contemporary parenting?
Each week, host Jason Gots surprises some of the world's brightest minds with ideas they're not at all prepared to discuss. Join us and special guests Neil Gaiman, Alan Alda, Salman Rushdie, Margaret Atwood, Richard Dawkins, Maria Popova, Mary-Louise Parker, Neil deGrasse Tyson and many more...
Cambridge Analytica whistleblower Christopher Wylie: the cognitive segregation of America
A talented young programmer, Christopher Wylie found himself at the center of a complex plot to overturn the cultural order in the United States and Europe—one that most likely tipped the scales on Brexit and the 2016 US presidential election.
I don't even know where to begin with this one. You've probably heard of Cambridge Analytica. Maybe you know they're a company that did some nefarious things involving facebook and the 2016 US presidential elections. If you're anything like me, you don't know the half of it. If you get through this episode without wanting to move to a remote hut in the Arctic circle, I will personally refund this hour of your life.
My guest today is Christopher Wylie, author of MindF*ck: Cambridge Analytica and the Plot to Break America. in high school, he found himself on the outside of lots of social circles. Computers and hacker culture gave him community. Identity. From there, it's a long strange trip through progressive politics in Canada to military Psy ops in London to helping Steve Bannon and the Billionaire Robert Mercer build the most powerful psychological weapon of mass destruction in existence—one that very likely won the presidency for Donald Trump and the Brexit vote.
Chris was 24 at the time. When the scale and consequences of Cambridge Analytica got too big to ignore, he turned whistleblower—and none of our lives, his included, will ever be the same.
Conversation starter: A clip from an upcoming episode with Ibram X. Kendi, author of How to be an Antiracist
Northwell Health is using insights from website traffic to forecast COVID-19 hospitalizations two weeks in the future.
- The machine-learning algorithm works by analyzing the online behavior of visitors to the Northwell Health website and comparing that data to future COVID-19 hospitalizations.
- The tool, which uses anonymized data, has so far predicted hospitalizations with an accuracy rate of 80 percent.
- Machine-learning tools are helping health-care professionals worldwide better constrain and treat COVID-19.
The value of forecasting<img type="lazy-image" data-runner-src="https://assets.rebelmouse.io/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpbWFnZSI6Imh0dHBzOi8vYXNzZXRzLnJibC5tcy8yNTA0Njk2OC9vcmlnaW4uanBnIiwiZXhwaXJlc19hdCI6MTYyMzM2NDQzOH0.rid9regiDaKczCCKBsu7wrHkNQ64Vz_XcOEZIzAhzgM/img.jpg?width=980" id="2bb93" class="rm-shortcode" data-rm-shortcode-id="31345afbdf2bd408fd3e9f31520c445a" data-rm-shortcode-name="rebelmouse-image" data-width="1546" data-height="1056" />
Northwell emergency departments use the dashboard to monitor in real time.
Credit: Northwell Health<p>One unique benefit of forecasting COVID-19 hospitalizations is that it allows health systems to better prepare, manage and allocate resources. For example, if the tool forecasted a surge in COVID-19 hospitalizations in two weeks, Northwell Health could begin:</p><ul><li>Making space for an influx of patients</li><li>Moving personal protective equipment to where it's most needed</li><li>Strategically allocating staff during the predicted surge</li><li>Increasing the number of tests offered to asymptomatic patients</li></ul><p>The health-care field is increasingly using machine learning. It's already helping doctors develop <a href="https://care.diabetesjournals.org/content/early/2020/06/09/dc19-1870" target="_blank">personalized care plans for diabetes patients</a>, improving cancer screening techniques, and enabling mental health professionals to better predict which patients are at <a href="https://healthitanalytics.com/news/ehr-data-fuels-accurate-predictive-analytics-for-suicide-risk" target="_blank" rel="noopener noreferrer">elevated risk of suicide</a>, to name a few applications.</p><p>Health systems around the world have already begun exploring how <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315944/" target="_blank" rel="noopener noreferrer">machine learning can help battle the pandemic</a>, including better COVID-19 screening, diagnosis, contact tracing, and drug and vaccine development.</p><p>Cruzen said these kinds of tools represent a shift in how health systems can tackle a wide variety of problems.</p><p>"Health care has always used the past to predict the future, but not in this mathematical way," Cruzen said. "I think [Northwell Health's new predictive tool] really is a great first example of how we should be attacking a lot of things as we go forward."</p>
Making machine-learning tools openly accessible<p>Northwell Health has made its predictive tool <a href="https://github.com/northwell-health/covid-web-data-predictor" target="_blank">available for free</a> to any health system that wishes to utilize it.</p><p>"COVID is everybody's problem, and I think developing tools that can be used to help others is sort of why people go into health care," Dr. Cruzen said. "It was really consistent with our mission."</p><p>Open collaboration is something the world's governments and health systems should be striving for during the pandemic, said Michael Dowling, Northwell Health's president and CEO.</p><p>"Whenever you develop anything and somebody else gets it, they improve it and they continue to make it better," Dowling said. "As a country, we lack data. I believe very, very strongly that we should have been and should be now working with other countries, including China, including the European Union, including England and others to figure out how to develop a health surveillance system so you can anticipate way in advance when these things are going to occur."</p><p>In all, Northwell Health has treated more than 112,000 COVID patients. During the pandemic, Dowling said he's seen an outpouring of goodwill, collaboration, and sacrifice from the community and the tens of thousands of staff who work across Northwell.</p><p>"COVID has changed our perspective on everything—and not just those of us in health care, because it has disrupted everybody's life," Dowling said. "It has demonstrated the value of community, how we help one another."</p>
In this episode master teacher Sharon Salzberg considers whether it's ok to teach mindfulness to the armed forces, how practitioners of meditation and mindfulness should balance openness with discipline, and so much more.
The New Yorker-based comedy team on never exercising or going outside, and so much more.
In this first episode of 2020, beloved dharma teacher Joseph Goldstein is back for a conversation about struggle, doubt, and growth on the spiritual path.
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